JPMorgan Lead Software Engineer - Java / Spark AWS ETL 

United States, Delaware, Wilmington 

885495982

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on professional experience (actively coding) working as a data engineer
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience with SQL and one or more programing languages - Java
• Experience with large-scale data platforms like Snowflake, and/or Databricks
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

• Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure
• Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, etc.)
• Expertise with NoSQL databases (Cassandra, MongoDB, etc.)